M. Teja Kiran Kumar

523 total citations
18 papers, 362 citations indexed

About

M. Teja Kiran Kumar is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Human-Computer Interaction. According to data from OpenAlex, M. Teja Kiran Kumar has authored 18 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Biomedical Engineering and 11 papers in Human-Computer Interaction. Recurrent topics in M. Teja Kiran Kumar's work include Human Pose and Action Recognition (16 papers), Gait Recognition and Analysis (11 papers) and Hand Gesture Recognition Systems (11 papers). M. Teja Kiran Kumar is often cited by papers focused on Human Pose and Action Recognition (16 papers), Gait Recognition and Analysis (11 papers) and Hand Gesture Recognition Systems (11 papers). M. Teja Kiran Kumar collaborates with scholars based in India, Nepal and United States. M. Teja Kiran Kumar's co-authors include D. Anil Kumar, P. V. V. Kishore, E. Kiran Kumar, Ananth Sastry, Suman Maloji, G. Anantha Rao, Darshika G. Perera, B. T. P. Madhav, K. Murali and K. Praveen Kumar Rao and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Transactions on Multimedia.

In The Last Decade

M. Teja Kiran Kumar

17 papers receiving 344 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Teja Kiran Kumar India 10 226 212 137 98 50 18 362
E. Kiran Kumar India 14 303 1.3× 309 1.5× 192 1.4× 145 1.5× 65 1.3× 30 511
Lionel Pigou Belgium 3 256 1.1× 226 1.1× 133 1.0× 67 0.7× 73 1.5× 3 379
Nam Le Switzerland 4 237 1.0× 182 0.9× 110 0.8× 42 0.4× 91 1.8× 6 360
Rinki Gupta India 10 74 0.3× 178 0.8× 133 1.0× 89 0.9× 28 0.6× 47 306
Jaya Prakash Sahoo India 9 114 0.5× 203 1.0× 89 0.6× 92 0.9× 20 0.4× 16 275
Okan Köpüklü Germany 6 194 0.9× 183 0.9× 88 0.6× 47 0.5× 68 1.4× 13 326
Pradyumna Narayana United States 9 165 0.7× 136 0.6× 60 0.4× 27 0.3× 84 1.7× 18 257
G. Anantha Rao India 7 123 0.5× 274 1.3× 136 1.0× 164 1.7× 36 0.7× 7 326
Walaa Aly Egypt 7 157 0.7× 220 1.0× 116 0.8× 142 1.4× 47 0.9× 11 324
Gibran Benítez-García Japan 9 184 0.8× 100 0.5× 40 0.3× 19 0.2× 30 0.6× 33 259

Countries citing papers authored by M. Teja Kiran Kumar

Since Specialization
Citations

This map shows the geographic impact of M. Teja Kiran Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Teja Kiran Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Teja Kiran Kumar more than expected).

Fields of papers citing papers by M. Teja Kiran Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Teja Kiran Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Teja Kiran Kumar. The network helps show where M. Teja Kiran Kumar may publish in the future.

Co-authorship network of co-authors of M. Teja Kiran Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Teja Kiran Kumar. A scholar is included among the top collaborators of M. Teja Kiran Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Teja Kiran Kumar. M. Teja Kiran Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kumar, E. Kiran, et al.. (2024). Three stream human action recognition using Kinect. AIP conference proceedings. 2512. 20077–20077. 1 indexed citations
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Kumar, M. Teja Kiran. (2020). CNN-LSTM Hybrid model based human action recognition with skeletal representation using joint movements based energy maps. International Journal of Emerging Trends in Engineering Research. 8(7). 3502–3508. 3 indexed citations
5.
Kishore, P. V. V., et al.. (2020). A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data. Multimedia Tools and Applications. 79(17-18). 11723–11746. 19 indexed citations
6.
Kishore, P. V. V., Darshika G. Perera, M. Teja Kiran Kumar, D. Anil Kumar, & E. Kiran Kumar. (2020). A Quad Joint Relational Feature for 3D Skeletal Action Recognition with Circular CNNs. 10. 1–5. 4 indexed citations
7.
Kishore, P. V. V., et al.. (2019). Training Granular Convolution Neural Network with Depth Motion Maps along with Joint Angular Displacement Maps for Kinect based Human Action Recognition. Journal of Advanced Research in Dynamic and Control Systems. 11. 1210–1219. 1 indexed citations
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Kumar, M. Teja Kiran, P. V. V. Kishore, E. Kiran Kumar, & D. Anil Kumar. (2019). YogaNet: 3-D Yoga Asana Recognition Using Joint Angular Displacement Maps With ConvNets. IEEE Transactions on Multimedia. 21(10). 2492–2503. 34 indexed citations
10.
Kumar, E. Kiran, P. V. V. Kishore, M. Teja Kiran Kumar, & D. Anil Kumar. (2019). 3D sign language recognition with joint distance and angular coded color topographical descriptor on a 2 – stream CNN. Neurocomputing. 372. 40–54. 45 indexed citations
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Kishore, P. V. V., et al.. (2018). Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks. Advances in Multimedia. 2018. 1–10. 49 indexed citations
13.
Kumar, E. Kiran, P. V. V. Kishore, M. Teja Kiran Kumar, D. Anil Kumar, & Ananth Sastry. (2018). Three-Dimensional Sign Language Recognition With Angular Velocity Maps and Connived Feature ResNet. IEEE Signal Processing Letters. 25(12). 1860–1864. 37 indexed citations
14.
Kishore, P. V. V., G. Anantha Rao, E. Kiran Kumar, M. Teja Kiran Kumar, & D. Anil Kumar. (2018). Selfie Sign Language Recognition with Convolutional Neural Networks. International Journal of Intelligent Systems and Applications. 10(10). 63–71. 17 indexed citations
15.
Kumar, E. Kiran, P. V. V. Kishore, Ananth Sastry, M. Teja Kiran Kumar, & D. Anil Kumar. (2018). Training CNNs for 3-D Sign Language Recognition With Color Texture Coded Joint Angular Displacement Maps. IEEE Signal Processing Letters. 25(5). 645–649. 62 indexed citations
16.
Kumar, E. Kiran, P. V. V. Kishore, D. Anil Kumar, & M. Teja Kiran Kumar. (2018). Early estimation model for 3D-discrete indian sign language recognition using graph matching. Journal of King Saud University - Computer and Information Sciences. 33(7). 852–864. 15 indexed citations
17.
Kumar, D. Anil, Ananth Sastry, P. V. V. Kishore, E. Kiran Kumar, & M. Teja Kiran Kumar. (2018). S3DRGF: Spatial 3-D Relational Geometric Features for 3-D Sign Language Representation and Recognition. IEEE Signal Processing Letters. 26(1). 169–173. 21 indexed citations
18.
Kishore, P. V. V., et al.. (2018). Unifying Boundary, Region, Shape into Level Sets for Touching Object Segmentation in Train Rolling Stock High Speed Video. IEEE Access. 6. 70368–70377. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026